Exploring Classic and Neural Lexical Translation Models for Information Retrieval: Interpretability, Effectiveness, and Efficiency Benefits.

Leonid Boytsov|Zico Kolter


Anthology ID:DBLP:conf/ecir/BoytsovK21
Volume:Advances in Information Retrieval - 43rd European Conference on IR Research, ECIR 2021, Virtual Event, March 28 - April 1, 2021, Proceedings, Part I
Year:2021
Venue:European Conference on Advances in Information Retrieval (ECIR)
Publisher:Springer
Pages:63-78
URL:https://doi.org/10.1007/978-3-030-72113-8_5
DOI:https://doi.org/10.1007/978-3-030-72113-8_5
DBLP:conf/ecir/BoytsovK21
BibTeX:
@inproceedings{boytsov-2021-exploring, author = {Leonid Boytsov and Zico Kolter}, editor = {Djoerd Hiemstra and Marie-Francine Moens and Josiane Mothe and Raffaele Perego and Martin Potthast and Fabrizio Sebastiani}, title = {{Exploring Classic and Neural Lexical Translation Models for Information Retrieval: Interpretability, Effectiveness, and Efficiency Benefits}}, booktitle = {{Advances in Information Retrieval - 43rd European Conference on IR Research, ECIR 2021, Virtual Event, March 28 - April 1, 2021, Proceedings, Part I}}, series = {Lecture Notes in Computer Science}, volume = {12656}, pages = {63--78}, publisher = {Springer}, year = {2021}, url = {https://doi.org/10.1007/978-3-030-72113-8_5}, doi = {https://doi.org/10.1007/978-3-030-72113-8_5} }